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Demand forecasting for managers / / Stephan Kolassa, Enno Siemsen



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Autore: Kolassa Stephan Visualizza persona
Titolo: Demand forecasting for managers / / Stephan Kolassa, Enno Siemsen Visualizza cluster
Pubblicazione: New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Edizione: First edition.
Descrizione fisica: 1 online resource (158 pages)
Disciplina: 658.40355
Soggetto topico: Business forecasting
Soggetto genere / forma: Electronic books.
Soggetto non controllato: forecasting
sales and operations planning
decision making
service levels
statistics thinking
choice under uncertainty
forecast accuracy
intermittent demand
forecasting competition
judgmental forecasting
Persona (resp. second.): SiemsenEnno
Nota di bibliografia: Includes bibliographical references (pages 147-153) and index.
Nota di contenuto: Part 1. Introduction -- 1. Introduction -- 2. Choice under uncertainty -- 3. A simple example -- Part 2. Forecasting basics -- 4. Know your time series -- 5. Time series decomposition -- Part 3. Forecasting models -- 6. Exponential smoothing -- 7. ARIMA models -- 8. Causal models and leading indicators -- 9. Count data and intermittent demands -- 10. Human judgment -- Part 4. Forecasting quality -- 11. Forecast quality measures -- 12. Forecasting competitions -- Part 5. Forecasting organization -- 13. Sales and operations planning -- 14. Forecasting hierarchies -- References -- Index.
Sommario/riassunto: Most decisions and plans in a firm require a forecast. Not matching supply with demand can make or break any business, and that is why forecasting is so invaluable. Forecasting can appear as a frightening topic with many arcane equations to master. We therefore start out from the very basics and provide a nontechnical overview of common forecasting techniques as well as organizational aspects of creating a robust forecasting process. We also discuss how to measure forecast accuracy to hold people accountable and guide continuous improvement. This book does not require prior knowledge of higher mathematics, statistics, or operations research. It is designed to serve as a first introduction to the nonexpert, such as a manager overseeing a forecasting group, or an MBA student who needs to be familiar with the broad outlines of forecasting without specializing in it.
Titolo autorizzato: Demand forecasting for managers  Visualizza cluster
ISBN: 1-60649-503-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910465760603321
Lo trovi qui: Univ. Federico II
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Serie: Supply and operations management collection. . 2156-8200